Acerca de este Curso
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Fechas límite flexibles

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Nivel intermedio

Aprox. 18 horas para completar

Sugerido: 12 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel intermedio

Aprox. 18 horas para completar

Sugerido: 12 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
3 horas para completar

Passive balancing methods for battery packs

In previous courses, you learned how to write algorithms to satisfy the estimation requirements of a battery management system. Now, you will learn how to write algorithms for two primary control tasks: balancing and power-limits computations. This week, you will learn why battery packs naturally become unbalanced, some balancing strategies, and how passive circuits can be used to balance battery packs....
7 videos (Total 79 minutos), 11 readings, 6 quizzes
7 videos
5.1.2: Introduction to battery-pack balancing10m
5.1.3: How do battery packs become imbalanced?15m
5.1.4: What are the criteria for specifying a balancing setpoint for a battery pack?13m
5.1.5: What are the criteria for specifying when to balance a battery pack?13m
5.1.6: What kinds of circuits can be used for passively balancing a battery pack?16m
5.1.7: Summary of "Passive balancing methods for battery packs"; what next?2m
11 lecturas
Notes for lesson 5.1.11m
Frequently Asked Questions5m
Course Resources5m
How to Use Discussion Forums5m
Earn A Certificate5m
Notes for lesson 5.1.21m
Notes for lesson 5.1.31m
Notes for lesson 5.1.41m
Notes for lesson 5.1.51m
Notes for lesson 5.1.61m
Notes for lesson 5.1.71m
6 ejercicios de práctica
Practice quiz for lesson 5.1.29m
Practice quiz for lesson 5.1.39m
Practice quiz for lesson 5.1.49m
Practice quiz for lesson 5.1.59m
Practice quiz for lesson 5.1.69m
Quiz for week 130m
Semana
2
3 horas para completar

Active balancing methods for battery packs

Passive balancing can be effective, but wastes energy. Active balancing methods attempt to conserve energy and have other advantages as well. This week, you will learn about active-balancing circuitry and methods, and will learn how to write Octave code to determine how quickly a battery pack can become out of balance. This is useful for determining the dominant factors leading to imbalance, and for estimating how quickly the pack must be balanced to maintain it in proper operational condition....
6 videos (Total 73 minutos), 6 readings, 6 quizzes
6 videos
5.2.2: How to balance actively using transformer-based circuits7m
5.2.3: How to balance actively using a shared active bus14m
5.2.4: Using simulation to show how quickly we must balance a battery pack14m
5.2.5: Introducing Octave code to simulate balancing: The main program loop21m
5.2.6: Summary of "Active balancing methods for battery packs"; what next?3m
6 lecturas
Notes for lesson 5.2.11m
Notes for lesson 5.2.21m
Notes for lesson 5.2.31m
Notes for lesson 5.2.41m
Notes for lesson 5.2.51m
Notes for lesson 5.2.61m
6 ejercicios de práctica
Practice quiz for lesson 5.2.19m
Practice quiz for lesson 5.2.29m
Practice quiz for lesson 5.2.39m
Practice quiz for lesson 5.2.49m
Practice quiz for lesson 5.2.515m
Quiz for week 230m
Semana
3
2 horas para completar

How to find available battery power using a simplified cell model

This week, we begin by reviewing the HPPC power-limit method from course 1. Then, you will learn how to extend the method to satisfy limits on SOC, load power, and electronics current. You will learn how to implement the power-limits computation methods in Octave code, and will see results for a representative scenario....
5 videos (Total 44 minutos), 5 readings, 5 quizzes
5 videos
5.3.2: How to compute available battery power based on cell terminal voltage8m
5.3.3: How to consider other performance limits when computing available battery power7m
5.3.4: Introducing Octave code to compute power limits using simplified cell model12m
5.3.5: Summary of "How to find available battery power using a simplified cell model"; what next?1m
5 lecturas
Notes for lesson 5.3.11m
Notes for lesson 5.3.21m
Notes for lesson 5.3.31m
Notes for lesson 5.3.41m
Notes for lesson 5.3.51m
5 ejercicios de práctica
Practice quiz for lesson 5.3.19m
Practice quiz for lesson 5.3.29m
Practice quiz for lesson 5.3.39m
Practice quiz for lesson 5.3.415m
Quiz for week 330m
Semana
4
4 horas para completar

How to find available battery power using a comprehensive cell model

The HPPC method, even as extended last week, makes some simplifying assumptions that are not met in practice. This week, we explore a more accurate method that uses full state information from an xKF as its input, along with a full ESC cell model to find power limits. You will learn how to implement this method in Octave code and will compare its computations to those from the HPPC method you learned about last week....
6 videos (Total 69 minutos), 6 readings, 6 quizzes
6 videos
5.4.2: How to solve for a future battery condition using the bisection algorithm11m
5.4.3: How to use bisection to estimate available power using comprehensive cell model16m
5.4.4: Introducing Octave code to compute power limits using comprehensive cell model9m
5.4.5: Using simulation to compare and contrast different power-estimation methods12m
5.4.6: Concluding remarks for the specialization6m
6 lecturas
Notes for lesson 5.4.11m
Notes for lesson 5.4.21m
Notes for lesson 5.4.31m
Notes for lesson 5.4.41m
Notes for lesson 5.4.51m
Notes for lesson 5.4.61m
6 ejercicios de práctica
Practice quiz for lesson 5.4.19m
Practice quiz for lesson 5.4.215m
Practice quiz for lesson 5.4.315m
Practice quiz for lesson 5.4.420m
Practice quiz for lesson 5.4.520m
Quiz for week 440m

Instructores

Gregory Plett

Professor
Electrical and Computer Engineering

Acerca de Sistema Universitario de Colorado

The University of Colorado is a recognized leader in higher education on the national and global stage. We collaborate to meet the diverse needs of our students and communities. We promote innovation, encourage discovery and support the extension of knowledge in ways unique to the state of Colorado and beyond....

Acerca del programa especializado Algorithms for Battery Management Systems

In this specialization, you will learn the major functions that must be performed by a battery management system, how lithium-ion battery cells work and how to model their behaviors mathematically, and how to write algorithms (computer methods) to estimate state-of-charge, state-of-health, remaining energy, and available power, and how to balance cells in a battery pack....
Algorithms for Battery Management Systems

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.

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